Further error analysis (according to the error measures defined in Section REF ) on the CUB and ILSVRC datasets are presented in Table REF . Our method localized the correct region of the concerned object instead of overestimating or underestimating the region. In contrast to related methods, MIns-Error on ILSVRC datasets shows that our method is able to localize a particular object instead of localizing more than one object. It also shows that the maps generated by DiPS are very robust and have much fewer errors compared to the baseline methods. The statistics of the baseline methods are from [1]}.
